- Type Parameters:
InputType - The input type to learn a decision for.OutputType - The output type to learn a decision for.CategoryType - The category type that the decider will output.DeciderType - The type of the decision function being learned.
- All Superinterfaces:
- BatchLearner<java.util.Collection<? extends InputOutputPair<? extends InputType,OutputType>>,DeciderType>, java.lang.Cloneable, CloneableSerializable, java.io.Serializable
- All Known Subinterfaces:
- VectorThresholdLearner<OutputType>
- All Known Implementing Classes:
- AbstractVectorThresholdMaximumGainLearner, RandomSubVectorThresholdLearner, VectorThresholdGiniImpurityLearner, VectorThresholdHellingerDistanceLearner, VectorThresholdInformationGainLearner, VectorThresholdVarianceLearner
public interface DeciderLearner<InputType,OutputType,CategoryType,DeciderType extends Categorizer<? super InputType,? extends CategoryType>>
extends BatchLearner<java.util.Collection<? extends InputOutputPair<? extends InputType,OutputType>>,DeciderType>
The DeciderLearner interface defines the functionality of a learner
that can be used to learn a decision function inside a decision tree.
- Since:
- 2.0
- Author:
- Justin Basilico